http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108629818-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T11-206 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T11-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-00 |
| filingDate | 2018-04-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2022-07-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2022-07-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-108629818-B |
| titleOfInvention | A Rapid Mapping Technology of Percentage Variation of Large-scale Impervious Surface |
| abstract | The invention discloses a rapid mapping technology for the percentage change of a large-scale impervious surface. This method uses the direction of the change trend of vegetation index, impervious surface index, bare soil index, water body index, and night light index to determine the increasing area of impervious surface, and then based on the Sen's slope of the change trend of various remote sensing indices and combined with training data, Using the random forest method, the percentage change of impervious surface is obtained, and finally the spatial distribution map of the change of impervious percentage is obtained. The method extracts the characteristic parameters that describe the percentage change of the impervious surface by synthesizing the source and destination of the surface cover change. The established technical method does not rely on manual intervention to set the threshold, has the advantages of fast and automatic, and can be used very well. It is suitable for large-scale information acquisition, and has good interpretability and its geographical significance. |
| priorityDate | 2018-04-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 15.